Cybercartography: Maps and Mapping in the Information Era
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The world of maps and mapping is rapidly being transformed. Recent technological developments have brought maps into the daily life of societies all over the world in unprecedented ways. Maps are everywhere: on our cell phones, in newspapers, in art galleries, on television, in books, and, obviously, on our computer screens. According to Michael Peterson (2005), maps are now second only to weather information in the number of World Wide Web search requests. This widespread use of on-line mapping has attracted the interest of large corporations such as Google, Yahoo, and Microsoft. Recently, the almost instantaneous success of Google Map, Google Earth, and Microsoft Digital Earth (Goodchild 2005) has demonstrated the increasing presence of maps in our daily life. This success is also transforming the way we access, use, and interact with maps. User-friendly technologies and high-resolution images now allow users to create maps that respond to individualized demands.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it